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SPECpower_ssj2008** Characterization

SPECpower_ssj2008** Characterization. Anil Kumar, Larry Gray and Harry Li Intel ® Corporation. SPEC Workshop – January 27, 2008. * Other names and brands may be claimed as the property of others

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SPECpower_ssj2008** Characterization

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  1. SPECpower_ssj2008** Characterization Anil Kumar, Larry Gray and Harry Li Intel® Corporation SPEC Workshop – January 27, 2008 * Other names and brands may be claimed as the property of others ** SPEC and the benchmark names are trademarks of the Standard Performance Evaluation Corporation

  2. Agenda • SPECpower_ssj2008 quick overview • SPECpower_ssj2008 initial characterization • System resources utilization • Impact of JVM Optimizations • Frequency scaling • Processor scaling • Platform generation scaling • General observation • Summary SPEC Workshop January 2008

  3. SPECpower_ssj2008Quick overview SPEC Workshop January 2008

  4. SPECpower_ssj2008 – Power and Processor % Dual-Core Intel Xeon 3.0, 4x1GB, 1x HDD, Pwr Mgmt On SPECpower_ssj2008 – Transactions Dual-Core Intel Xeon 3.0, 4x1GB, 1x HDD, Pwr Mgmt On ~ Peak Throughput ~40% calibration levels ~20% ~100% Active Idle ~80% build slide SPECpower* - A “Graduated” Workload • First: A Calibration Phase: Run to Peak Transaction Throughput • # warehouses or threads = # cores, scheduling is “ungated” • Next: Load Levels: Gradations Based on Calibrated Throughput • Average of last two calibration levels = peak calibrated throughput • Example Below is x10 or 10% increments – the benchmark Runs and Reports a “Load Line” SPEC Workshop January 2008

  5. Controlling Measurements Active Idle • Each load level is a 240 second “measurement interval” plus, • “inter” (delay between load level), • ramp up(pre-measurement) • ramp down(post-measurement) • Settle time and proper synchronization are essential • Consistent Power and Performance Measurement Graduated Load Levels Calibrations SSJ_2008 Reporter SSJ_2008 Initialization Exit Active idle SSJ@100% Calibration 2 Calibration 1 Calibration n SSJ@90% SSJ@80% SSJ@70% SSJ@20% SSJ@10% Load level GO Power STOP Measurement Delay between load level Delay between load level measurement interval Post-measurement Pre-measurement operations per second 30 secs 10 secs 30 secs 10 secs 240 seconds time SPEC Workshop January 2008

  6. SPECjbb2005 vs. SSJ_OPS@100% • SSJ_2008 derived from SPECjbb2005 - But different! • Base code and transaction types from SPECjbb2005 • Substantive changes! • The two are not comparable: • Notable Differences • Different transaction mix • Transaction scheduling and timing • Modified throughput accounting • Data collection via network – TCP/IP • More logging increases disk I/O • Plus others SPEC Workshop January 2008

  7. SPECpower_ssj2008 - Metric Definition • The Primary Metric for SPECpower_ssj2008: “overall ssj_ops/watt” = ∑ 11 avg-trans-rate pts / ∑ 11 power pts • (includes power at the active idle state) Table from SPECpower_ssj2008 Full Disclosure Report ssj_ops@100% average powereach level performance / power each level overall ssj_ops/watt SPECpower_ssj2008 Intel publication http://www.spec.org/power_ssj2008/results/res2007q4/power_ssj2008-20071129-00017.html Lots of data in rest of the report ! SPEC Workshop January 2008

  8. Initial characterization of SPECpower_ssj2008 SPEC Workshop January 2008

  9. Hardware and Software • SUT: Intel® “White Box” • Dual and Quad Core Intel® Xeon® 2.0 & 3.0 GHz • Supermicro* X7DB8/ Main Board, Super Micro 5000P (Blackford chipset) • 4x 2GB FBDIMMs • 1x 700W PSU • 5U Tower Platform • Microsoft* Windows Server 2003 64 bit • Power Options: Server Balanced Processor Power and Performance • JVM: BEA* JRockit* P27.4.0 64 bit • JVM Command Line similar to published results • Sampling Rates: • Power: 1 second (average from meter) • SPECpower_ssj2008 setup • SSJ Director on SUT • load levels 120 seconds SPEC Workshop January 2008

  10. Collecting OS Counters • Intel Written Daemon “OSctrD.exe” • Counters defined in ccs.props • Daemon runs on SUT, • Data to CCS via TCP/IP • Can run on CCS • CCS logs counters along with watts, trans, etc. • “Integrated” Log • advantage • Windows Only • Linux port under consideration SPEC Workshop January 2008

  11. SSJ_2008 Memory Usage • Code footprint: • ~1.5M (total of all methods JIT’ed and optimized) • Data footprint: • ~50MB per warehouse “database” size • ~8KB of transient objects per transaction • JVMs • 32 bit JVM - Max. 4GB heap • 64 bit JVM - much larger heap (max. 264 Bytes) • Multiple instances can/will increase memory footprint • Optimal memory size is throughput capacity dependent • Platform and configuration specific • Example: Quad-Core Intel Xeon based Dual Processor system • ~8GB optimal for SPECpower_ssj2008 • All above specific to BEA JRockit JVM SPEC Workshop January 2008

  12. Transactions (SSJ OPS) • CPU % tracks load • CPU % expected to track on Intel Core 2 architecture • Other architectures will vary (SMT etc.) • Load level targets are % of SSJ_OPS@calibrated • CPU utilization is no part of the benchmark SPEC Workshop January 2008

  13. Power and Processor Utilization • Average SSJ OPS tracking as expected per level • Throughput per sec showing expected variability within load level • Negative Exponential inter-arrival time batch scheduling • Power consumption varies with load SPEC Workshop January 2008

  14. All Three (SSJ OPS, CPU% and Power) • At all load levels including active idle: • All three,SSJ OPS, CPU % utilization and Average Watts • tracking as expected SPEC Workshop January 2008

  15. Memory Utilization • With typical tuning (Xmx==Xms), Java heap allocated remains same throughout the run • committed memory in use remains constant at all load levels including active idle SPEC Workshop January 2008

  16. Network I/O • ~1500 Bytes/sec of network I/O at all load levelsincluding active idle: • Network I/O from per sec request/response between Control & Collect (CCS) and SSJ_2008 Director SPEC Workshop January 2008

  17. Disk I/O • Disk I/O – Regular bursts of ~140Kbyte writes, • ~3.3Kbytes/sec average for all load levels • Most disk writes related to SSJ_2008 logging • Disk reads average zero SPEC Workshop January 2008

  18. C1 state • % Time in C1 State – Inverse of CPU % • C1/C1E Time contributes to power saving • Varies with architecture, OS and policies • Intel EIST and C1E “enabled” in BIOS SPEC Workshop January 2008

  19. Basic system events • Interrupts: ~700 /sec at all load levels • Context switches ~800 /sec • Below 50% declining to ~400 at active idle • Rates OS and platform dependent • More Investigation Needed Here SPEC Workshop January 2008

  20. Impact of JVM Optimizations • Experiment with JVM Options • JAVAOPTIONS_SSJ=“ “ (None, default heap and optimization) • JAVAOPTIONS_SSJ=“-Xms3000m -Xmx3000m -Xns2400m -XXaggressive -XXlargePages -XXthroughputCompaction -XXcallprofiling -XXlazyUnlocking -Xgc:genpar -XXtlasize:min=12k,preferred=1024k” • PerformanceLoss ~50% • Power Less by0 to 3% less • Your Resultsdependent onJVM and options SPEC Workshop January 2008

  21. Processor scaling • Dual Core Intel Xeon  Quad Core Intel Xeon: (2.0GHz / 4MBL2) (2.0GHz 2x4MBL2) • SSJ_OPS@100% increased by ~77% • Similar power@100% • Overall SSJ_OPS/Watt improved by ~73% SPEC Workshop January 2008

  22. Frequency scaling • 2.0 to 3.0GHz Quad Core Intel Xeon (2x6MBL2): • Frequency increase of 50% • SSJ_OPS@100% increases by ~24% • Power@100% increased by ~10% • Overall SSJ_OPS/Watt improved by ~16% SPEC Workshop January 2008

  23. Platform generation scaling • Quad Core Intel Xeon 2.0GHz vs. Single Core Intel Xeon 3.6GHz: • SSJ_OPS@100% improves by ~5.4x • Power@100% less by ~20% for newer generation • Overall SSJ_OPS/Watt improves by ~5.4x SPEC Workshop January 2008

  24. General observation • CPU Utilization – follows the load line (architecture dependent) • % Time in C1 State – Inverse of CPU % • C1 Transitions per second – highest at idle • Memory % Committed – constant across load line • Disk I/O – Regular bursts of ~140K byte writes, • ~3.3K bytes/sec for all load levels • Network I/O - ~2.5K Bytes/sec, ~constant across load line • Basic system events require more investigation • Benchmark metric and other data do effectively show scaling with frequency, cores and across platform generation SPEC Workshop January 2008

  25. Summary • First look, more refinements required • More measurements planned for in-depth characterization • Results are specific to the platform and OS measured, etc • SPEC FDR contains unprecedented amount of data • Some system resources track graduated loads • Benchmark metric and data fairly reflect configuration and OS Setting changes • We are just getting started. SPEC Workshop January 2008

  26. END

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